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Photogrammetry and Machine Vision
Photogrammetrie und Machine Vision
Last Updated: 2026-02-05 15:05:58
Abstract
This class recall the main concepts of close-range photogrammetry and range sensors. The students get more knowledge of statistical tests, adjustment procedure and measurements techniques. A project all along the semester is also carry out.
Objective
This class recall the main concepts of close-range photogrammetry and range sensors. The students get more knowledge of statistical tests, adjustment procedure and measurements techniques. A project all along the semester is also carry out.
Content
Definitions, applications, markets, foundations, history. Photogrammetric network, measurements and adjustment: digital cameras (CCD, CMOS, high-speed, video) and digital images, measurements (coded targets, LSM), bundle adjustment, self-calibration, statistical analysis, precision criteria, reliability theory, image network configuration, surface generation, texture mapping, visualization. Active sensors: measurement principle, laser light, structred light, system calibration, registration, TOF cameras, applications. Panoramic cameras: principles, techniques, sensor modeling, applications. Movement analysis: particle tracking, motion capture, crash test, deformation analysis.
Resources
Lecture Notes
Gruen, A. and Remondino, F.: Machine Vision and Photogrammetry
Literature
T. Luhmann, 2003: :Nahbereichs-photogrammetrie. Wichmann Verlag K.B. Atkinson, 1996: Close-range Photogrammetry and Machine Vision. Whittles Publishing
General Information
- Language
- German
- Levels
- DS
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Photogrammetrie und Machine Vision |
|
3 h weekly |